{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "wrn_run2 = np.load('bma_results/wrn_scale_05_run2_ensembles.npz')\n",
    "wrn_run3 = np.load('bma_results/wrn_scale_05_run3_ensembles.npz')\n",
    "wrn_run3_diag = np.load('bma_results/wrn_run3_diag_ensembles.npz')\n",
    "wrn_run2_diag = np.load('bma_results/wrn_run2_diag_ensembles.npz')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "wrn_run2_preds = wrn_run2['predictions']\n",
    "wrn_run2_targets = wrn_run2['targets']\n",
    "\n",
    "wrn_run3_preds = wrn_run3['predictions']\n",
    "wrn_run3_targets = wrn_run3['targets']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "wrn_run3_diag_preds = wrn_run3_diag['predictions']\n",
    "wrn_run3_diag_targets = wrn_run3_diag['targets']\n",
    "\n",
    "wrn_run2_diag_preds = wrn_run2_diag['predictions']\n",
    "wrn_run2_diag_targets = wrn_run2_diag['targets']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def nll(outputs, labels):\n",
    "    # from https://github.com/wjmaddox/private_swa_uncertainties/blob/master/experiments/uncertainty/run_unc_metrics.py#L64-L79\n",
    "    labels = labels.astype(int)\n",
    "    idx = (np.arange(labels.size), labels)\n",
    "    ps = outputs[idx]\n",
    "    nll = -np.sum(np.log(ps))\n",
    "    return nll / labels.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cum_pred(preds, targets, randomize = True):\n",
    "    \n",
    "    accuracies = np.zeros(preds.shape[2])\n",
    "    nlls = np.zeros(preds.shape[2])\n",
    "    \n",
    "    for i in range(preds.shape[2]):\n",
    "        if i%10 is 0:\n",
    "            print(i)\n",
    "        if randomize:\n",
    "            #choose a random ensemble size of size i\n",
    "            current_ensemble = np.sum(preds[:, :, np.random.choice(preds.shape[2], i+1, replace = False)],2)\n",
    "        else:\n",
    "            current_ensemble = np.sum(preds[:, :, 0:(i+1)], 2)\n",
    "            \n",
    "        current_ensemble = current_ensemble * preds.shape[2] # fixes scaling bug in the ensembling script\n",
    "        \n",
    "        ensemble_preds = np.argmax(current_ensemble, axis=1)\n",
    "        current_accuracy = np.mean(ensemble_preds == targets)\n",
    "        current_loss = nll(outputs=current_ensemble/(i+1), labels=targets)\n",
    "        \n",
    "        accuracies[i] = current_accuracy\n",
    "        nlls[i] = current_loss\n",
    "    \n",
    "    return accuracies, nlls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8252"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(np.argmax(np.sum(wrn_run2_diag_preds[:, :, np.random.choice(100, 100, replace = False)] ,2),1) == wrn_run2_targets).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "10\n",
      "20\n",
      "30\n",
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      "70\n",
      "80\n",
      "90\n",
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      "50\n",
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      "60\n",
      "70\n",
      "80\n",
      "90\n"
     ]
    }
   ],
   "source": [
    "run2_accs, run2_nlls = cum_pred(wrn_run2_preds, wrn_run2_targets, randomize=False)\n",
    "run3_accs, run3_nlls = cum_pred(wrn_run3_preds, wrn_run3_targets, randomize=False)\n",
    "\n",
    "run2_diag_accs, run2_diag_nlls = cum_pred(wrn_run2_diag_preds, wrn_run2_diag_targets, randomize=False)\n",
    "run3_diag_accs, run3_diag_nlls = cum_pred(wrn_run3_diag_preds, wrn_run3_diag_targets, randomize=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "run_accs = (run2_nlls + run3_nlls) / 2\n",
    "run_diag_accs = (run2_diag_nlls + run3_diag_nlls) / 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "swa_mean = (0.6700 + 0.6706) / 2 # from pavels spreadsheet\n",
    "sgd_mean = 0.7900 # from timur's repo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'WideResNet28x10 CIFAR100')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(run_accs, label = 'SWAG')\n",
    "plt.plot(run_diag_accs, label = 'SWAG-Diag')\n",
    "plt.axhline(y=swa_mean, label = 'SWA', c='black')\n",
    "plt.axhline(y=sgd_mean, label = 'SGD', c='gray')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.ylim((0.6, 0.8))\n",
    "plt.ylabel('Average NLL')\n",
    "plt.xlabel('Number of Samples')\n",
    "plt.title('WideResNet28x10 CIFAR100')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'Number of Samples')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(run2_nlls, label='SWAG (2)')\n",
    "plt.plot(run3_nlls, label='SWAG (3)')\n",
    "plt.plot(run2_diag_nlls, label='SWAG-Diag (2)')\n",
    "plt.plot(run3_diag_nlls, label='SWAG-Diag (3)')\n",
    "plt.axhline(y=0.6700, label='SWA (2)', c='black')\n",
    "plt.axhline(y=0.6706, label='SWA (3)', c='black')\n",
    "plt.axhline(y=0.79, label='SGD', c='gray')\n",
    "plt.legend()\n",
    "plt.ylim((0.6,0.7))\n",
    "plt.ylabel('Mean NLL')\n",
    "plt.xlabel('Number of Samples')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now Randomized Ensembles (for Variance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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    }
   ],
   "source": [
    "np.random.seed(1)\n",
    "\n",
    "r_run2_accs = np.zeros((100, 10))\n",
    "r_run3_accs = np.zeros((100, 10))\n",
    "r_run2_diag_accs = np.zeros((100, 10))\n",
    "r_run3_diag_accs = np.zeros((100, 10))\n",
    "\n",
    "r_run2_nlls = np.zeros((100, 10))\n",
    "r_run3_nlls = np.zeros((100, 10))\n",
    "r_run2_diag_nlls = np.zeros((100, 10))\n",
    "r_run3_diag_nlls = np.zeros((100, 10))\n",
    "\n",
    "for i in range(10):\n",
    "    r_run2_accs[:, i], r_run2_nlls[:, i] = cum_pred(wrn_run2_preds, wrn_run2_targets, randomize=True)\n",
    "    r_run3_accs[:, i], r_run3_nlls[:, i] = cum_pred(wrn_run3_preds, wrn_run3_targets, randomize=True)\n",
    "\n",
    "    r_run2_diag_accs[:, i], r_run2_diag_nlls[:, i] = cum_pred(wrn_run2_diag_preds, wrn_run2_diag_targets, \n",
    "                                                              randomize=True)\n",
    "    r_run3_diag_accs[:, i], r_run3_diag_nlls[:, i] = cum_pred(wrn_run3_diag_preds, wrn_run3_diag_targets, \n",
    "                                                              randomize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_error_bar(xaxis, yaxis, yerr, label, color, fb_alpha):\n",
    "    plt.fill_between(xaxis, yaxis-yerr, yaxis+yerr, color=color, alpha=fb_alpha)\n",
    "    plt.plot(xaxis, yaxis, label=label, c=color)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'WideResNet28x10 CIFAR100')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_error_bar(range(100), np.mean(r_run2_accs, 1), 2*np.std(r_run2_accs,1), label='SWAG', color='blue', fb_alpha=0.3)\n",
    "plot_error_bar(range(100), np.mean(r_run3_accs, 1), 2*np.std(r_run3_accs,1), label=None, color='blue', fb_alpha=0.3)\n",
    "\n",
    "plot_error_bar(range(100), np.mean(r_run2_diag_accs, 1), 2*np.std(r_run2_diag_accs,1), label='SWAG-Diag', color='magenta', fb_alpha=0.3)\n",
    "plot_error_bar(range(100), np.mean(r_run3_diag_accs, 1), 2*np.std(r_run3_diag_accs,1), label=None, color='magenta', fb_alpha=0.3)\n",
    "\n",
    "plt.axhline(y=0.8228, label = 'SWA', c='black')\n",
    "plt.axhline(y=0.823, c='black')\n",
    "plt.axhline(y=sgd_mean, label = 'SGD', c='gray')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.ylim((0.81, 0.828))\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Number of Samples')\n",
    "plt.title('WideResNet28x10 CIFAR100')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot_error_bar(range(100), np.mean(r_run2_nlls, 1), 2*np.std(r_run2_nlls,1), \n",
    "#               label='SWAG', color='blue', fb_alpha=0.3)\n",
    "plot_error_bar(range(100), np.mean(r_run3_nlls, 1), 2*np.std(r_run3_nlls,1), \n",
    "               label='SWAG', color='blue', fb_alpha=0.3)\n",
    "\n",
    "#plot_error_bar(range(100), np.mean(r_run2_diag_nlls, 1), 2*np.std(r_run2_diag_nlls,1), \n",
    "#               label='SWAG-Diag', color='magenta', fb_alpha=0.3)\n",
    "plot_error_bar(range(100), np.mean(r_run3_diag_nlls, 1), 2*np.std(r_run3_diag_nlls,1), \n",
    "               label='SWAG-Diag', color='magenta', fb_alpha=0.3)\n",
    "\n",
    "plt.axhline(y=0.6706, label = 'SWA', c='black')\n",
    "#plt.axhline(y=0.823, c='black')\n",
    "#plt.axhline(y=sgd_mean, label = 'SGD', c='gray')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.ylim((0.6, 0.675))\n",
    "plt.ylabel('Mean NLL')\n",
    "plt.xlabel('Number of Samples')\n",
    "plt.title('WideResNet28x10 CIFAR100')\n",
    "plt.savefig('/home/wesley/Documents/Papers/udl_paper_source/icml/plots/pics/wrn_bma_c100_nll.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scaling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'wrn_run3_ensembles.npz'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-17-4d5e908bc4f6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m#wrn_2_scale_1 = np.load('wrn_run2_')\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mwrn_3_scale_1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'wrn_run3_ensembles.npz'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mwrn_2_scale_s2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'wrn_scale_s2_run2_ensembles.npz'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mwrn_3_scale_s2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'wrn_scale_s2_run3_ensembles.npz'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/numpy/lib/npyio.py\u001b[0m in \u001b[0;36mload\u001b[0;34m(file, mmap_mode, allow_pickle, fix_imports, encoding)\u001b[0m\n\u001b[1;32m    370\u001b[0m     \u001b[0mown_fid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    371\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbasestring\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 372\u001b[0;31m         \u001b[0mfid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"rb\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    373\u001b[0m         \u001b[0mown_fid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    374\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0mis_pathlib_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'wrn_run3_ensembles.npz'"
     ]
    }
   ],
   "source": [
    "#wrn_2_scale_1 = np.load('wrn_run2_')\n",
    "wrn_3_scale_1 = np.load('bma_results/wrn_run3_ensembles.npz')\n",
    "\n",
    "wrn_2_scale_s2 = np.load('bma_results/wrn_scale_s2_run2_ensembles.npz')\n",
    "wrn_3_scale_s2 = np.load('bma_results/wrn_scale_s2_run3_ensembles.npz')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "#wrn_2_scale_1_preds, wrn_2_scale_1_targets = wrn_2_scale_1['predictions'], wrn_2_scale_1['targets']\n",
    "wrn_3_scale_1_preds, wrn_3_scale_1_targets = wrn_3_scale_1['predictions'], wrn_3_scale_1['targets']\n",
    "wrn_2_scale_s2_preds, wrn_2_scale_s2_targets = wrn_2_scale_s2['predictions'], wrn_2_scale_s2['targets']\n",
    "wrn_3_scale_s2_preds, wrn_3_scale_s2_targets = wrn_3_scale_s2['predictions'], wrn_3_scale_s2['targets']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "wrn_2_scale_12 = np.load('bma_results/wrn_scale_125_run2_ensembles.npz')\n",
    "wrn_3_scale_12 = np.load('bma_results/wrn_scale_125_run3_ensembles.npz')\n",
    "\n",
    "wrn_2_scale_12_preds, wrn_2_scale_12_targets = wrn_2_scale_12['predictions'], wrn_2_scale_12['targets']\n",
    "wrn_3_scale_12_preds, wrn_3_scale_12_targets = wrn_3_scale_12['predictions'], wrn_3_scale_12['targets']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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    }
   ],
   "source": [
    "r_s1_run2_accs = np.zeros((100, 10))\n",
    "r_s1_run3_accs = np.zeros((100, 10))\n",
    "r_s2_run2_accs = np.zeros((100, 10))\n",
    "r_s2_run3_accs = np.zeros((100, 10))\n",
    "\n",
    "r_s12_run2_accs = np.zeros((30, 10))\n",
    "r_s12_run3_accs = np.zeros((30, 10))\n",
    "\n",
    "r_s1_run2_nlls = np.zeros((100, 10))\n",
    "r_s1_run3_nlls = np.zeros((100, 10))\n",
    "r_s2_run2_nlls = np.zeros((100, 10))\n",
    "r_s2_run3_nlls = np.zeros((100, 10))\n",
    "\n",
    "r_s12_run2_nlls = np.zeros((30, 10))\n",
    "r_s12_run3_nlls = np.zeros((30, 10))\n",
    "\n",
    "for i in range(10):\n",
    "    r_s1_run2_accs[:, i], r_s1_run2_nlls[:, i] = cum_pred(wrn_2_scale_1_preds, wrn_2_scale_1_targets, randomize=True)\n",
    "    r_s1_run3_accs[:, i], r_s1_run3_nlls[:, i] = cum_pred(wrn_3_scale_1_preds, wrn_3_scale_1_targets, randomize=True)\n",
    "\n",
    "    r_s2_run2_accs[:, i], r_s2_run2_nlls[:, i] = cum_pred(wrn_2_scale_s2_preds, wrn_2_scale_s2_targets, randomize=True)\n",
    "    r_s2_run3_accs[:, i], r_s2_run3_nlls[:, i] = cum_pred(wrn_3_scale_s2_preds, wrn_3_scale_s2_targets, randomize=True)\n",
    "    \n",
    "    r_s12_run2_accs[:, i], r_s12_run2_nlls[:, i] = cum_pred(wrn_2_scale_12_preds, wrn_2_scale_12_targets, \n",
    "                                                            randomize=True)\n",
    "    r_s12_run3_accs[:, i], r_s12_run3_nlls[:, i] = cum_pred(wrn_3_scale_12_preds, wrn_3_scale_12_targets, \n",
    "                                                            randomize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_error_bar(range(30), np.mean(r_s12_run3_nlls, 1), 2*np.std(r_s12_run3_nlls,1), \n",
    "               label='1.25', color='gray', fb_alpha=0.3)\n",
    "plot_error_bar(range(100), np.mean(r_s1_run3_nlls, 1), 2*np.std(r_s1_run3_nlls,1), \n",
    "               label='1', color='magenta', fb_alpha=0.3)\n",
    "plot_error_bar(range(100), np.mean(r_s2_run3_nlls, 1), 2*np.std(r_s2_run3_nlls,1), \n",
    "               label='1/sqrt(2)', color='green', fb_alpha=0.3)\n",
    "plot_error_bar(range(100), np.mean(r_run3_nlls, 1), 2*np.std(r_run3_nlls,1), \n",
    "               label='0.5', color='blue', fb_alpha=0.3)\n",
    "plt.axhline(y=0.6706, label = '0 (SWA)', c='black')\n",
    "\n",
    "plt.legend(title='Scale')\n",
    "plt.grid()\n",
    "\n",
    "plt.ylim((0.6, 0.9))\n",
    "plt.ylabel('Mean NLL')\n",
    "plt.xlabel('Number of Samples')\n",
    "plt.title('WideResNet28x10 CIFAR100')\n",
    "plt.savefig('/home/wesley/Documents/Papers/udl_paper_source/icml/plots/pics/wrn_bma_c100_nll_scaling.pdf')\n",
    "#plt.savefig('/home/wesley/Documents/Papers/udl_paper_source/icml/plots/pics/wrn_bma_c100_nll.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.fill_between(range(30), np.mean(r_s12_run2_accs,1)-2*np.std(r_s12_run2_accs,1),\n",
    "                 np.mean(r_s12_run2_accs,1)+2*np.std(r_s12_run2_accs,1), color='gray', alpha=0.3)\n",
    "plt.fill_between(range(30), np.mean(r_s12_run3_accs,1)-2*np.std(r_s12_run3_accs,1),\n",
    "                 np.mean(r_s12_run3_accs,1)+2*np.std(r_s12_run3_accs,1), color='gray', alpha=0.3)\n",
    "plt.plot(np.mean(r_s12_run2_accs,1), label='1.25', c='gray')\n",
    "plt.plot(np.mean(r_s12_run3_accs,1), c='gray')\n",
    "\n",
    "#plt.fill_between(range(100), np.mean(r_s1_run2_accs,1)-2*np.std(r_s1_run2_accs,1),\n",
    "#                 np.mean(r_s1_run2_accs,1)+2*np.std(r_s1_run2_accs,1), color='blue', alpha=0.3)\n",
    "plt.fill_between(range(100), np.mean(r_s1_run3_accs,1)-2*np.std(r_s1_run3_accs,1),\n",
    "                 np.mean(r_s1_run3_accs,1)+2*np.std(r_s1_run3_accs,1), color='blue', alpha=0.3)\n",
    "#plt.plot(np.mean(r_s1_run2_accs,1), label='1', c='blue')\n",
    "plt.plot(np.mean(r_s1_run3_accs,1), c='blue', label='1')\n",
    "\n",
    "plt.fill_between(range(100), np.mean(r_s2_run2_accs,1)-2*np.std(r_s2_run2_accs,1),\n",
    "                 np.mean(r_s2_run2_accs,1)+2*np.std(r_s2_run2_accs,1), color='magenta', alpha=0.3)\n",
    "plt.fill_between(range(100), np.mean(r_s2_run3_accs,1)-2*np.std(r_s2_run3_accs,1),\n",
    "                 np.mean(r_s2_run3_accs,1)+2*np.std(r_s2_run3_accs,1), color='magenta', alpha=0.3)\n",
    "plt.plot(np.mean(r_s2_run2_accs,1), label='1/sqrt(2)', c='magenta')\n",
    "plt.plot(np.mean(r_s2_run3_accs,1), c='magenta')\n",
    "\n",
    "plt.fill_between(range(100), np.mean(r_run2_accs,1)-2*np.std(r_run2_accs,1),\n",
    "                 np.mean(r_run2_accs,1)+2*np.std(r_run2_accs,1), color='green', alpha=0.3)\n",
    "plt.fill_between(range(100), np.mean(r_run3_accs,1)-2*np.std(r_run3_accs,1),\n",
    "                 np.mean(r_run3_accs,1)+2*np.std(r_run3_accs,1), color='green', alpha=0.3)\n",
    "plt.plot(np.mean(r_run2_accs,1), label='0.5', c='green')\n",
    "plt.plot(np.mean(r_run3_accs,1), c='green')\n",
    "\n",
    "\n",
    "\n",
    "plt.legend(title='Scale')\n",
    "plt.grid()\n",
    "plt.ylim((0.79, 0.828))\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Number of Samples')\n",
    "plt.title('WideResNet28x10 CIFAR100')\n",
    "\n",
    "plt.savefig('/home/wesley/Documents/Papers/udl_paper_source/icml/plots/pics/wrn_bma_c100_scaling.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Batch Norm "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "wrn_run2_nobn = np.load('bma_results/wrn_nobn_run2_ensembles.npz')\n",
    "wrn_run3_nobn = np.load('bma_results/wrn_scale_nobn_run3_ensembles.npz')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "wrn_2_nobn_preds, wrn_2_nobn_targets = wrn_run2_nobn['predictions'], wrn_run2_nobn['targets']\n",
    "wrn_3_nobn_preds, wrn_3_nobn_targets = wrn_run3_nobn['predictions'], wrn_run3_nobn['targets']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "r_nobn_run2_accs = np.zeros((30, 10))\n",
    "r_nobn_run3_accs = np.zeros((30, 10))\n",
    "\n",
    "r_nobn_run2_nlls = np.zeros((30, 10))\n",
    "r_nobn_run3_nlls = np.zeros((30, 10))\n",
    "\n",
    "for i in range(10):\n",
    "    r_nobn_run2_accs[:, i], r_nobn_run2_nlls[:, i] = cum_pred(wrn_2_nobn_preds, wrn_2_nobn_targets , randomize=True)\n",
    "    r_nobn_run3_accs[:, i], r_nobn_run3_nlls[:, i] = cum_pred(wrn_3_nobn_preds, wrn_3_nobn_targets, randomize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_error_bar(range(30), np.mean(r_nobn_run3_nlls, 1), 2*np.std(r_nobn_run3_nlls,1), \n",
    "               label='No Batch Norm', color='orange', fb_alpha=0.3)\n",
    "plot_error_bar(range(100), np.mean(r_run3_nlls, 1), 2*np.std(r_run3_nlls,1), \n",
    "               label='Batch Norm', color='blue', fb_alpha=0.3)\n",
    "\n",
    "plt.xlim((-0.1, 30))\n",
    "plt.xlabel('Number of Samples')\n",
    "plt.ylabel('Mean NLL')\n",
    "plt.title('WideResNet28x10 CIFAR100')\n",
    "plt.grid()\n",
    "plt.legend()\n",
    "plt.savefig('/home/wesley/Documents/Papers/udl_paper_source/icml/plots/pics/wrn_bma_c100_bn_nll.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.fill_between(range(30), np.mean(r_nobn_run2_accs,1)-2*np.std(r_nobn_run2_accs,1),\n",
    "                 np.mean(r_nobn_run2_accs,1)+2*np.std(r_nobn_run2_accs,1), color='orange', alpha=0.3)\n",
    "plt.fill_between(range(30), np.mean(r_nobn_run3_accs,1)-2*np.std(r_nobn_run3_accs,1),\n",
    "                 np.mean(r_nobn_run3_accs,1)+2*np.std(r_nobn_run3_accs,1), color='orange', alpha=0.3)\n",
    "plt.plot(np.mean(r_nobn_run2_accs,1), label='No Batch Norm Update', c='orange')\n",
    "plt.plot(np.mean(r_nobn_run3_accs,1), c='orange')\n",
    "\n",
    "plt.fill_between(range(100), np.mean(r_run2_accs,1)-2*np.std(r_run2_accs,1),\n",
    "                 np.mean(r_run2_accs,1)+2*np.std(r_run2_accs,1), color='blue', alpha=0.3)\n",
    "plt.fill_between(range(100), np.mean(r_run3_accs,1)-2*np.std(r_run3_accs,1),\n",
    "                 np.mean(r_run3_accs,1)+2*np.std(r_run3_accs,1), color='blue', alpha=0.3)\n",
    "plt.plot(np.mean(r_run2_accs,1), label='Batch Norm Update', c='blue')\n",
    "plt.plot(np.mean(r_run3_accs,1), c='blue')\n",
    "\n",
    "\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.xlim((-0.4,30))\n",
    "plt.ylim((0.6, 0.828))\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Number of Samples')\n",
    "plt.title('WideResNet28x10 CIFAR100')\n",
    "plt.savefig('/home/wesley/Documents/Papers/udl_paper_source/icml/plots/pics/wrn_c100_bn.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "swag_run2 = {'acc': r_run2_accs, 'nll': r_run2_nlls}\n",
    "swag_run3 = {'acc': r_run3_accs, 'nll': r_run3_nlls}\n",
    "\n",
    "swag_diag_run2 = {'acc': r_run2_diag_accs, 'nll': r_run2_diag_nlls}\n",
    "swag_diag_run3 = {'acc': r_run3_diag_accs, 'nll': r_run3_diag_nlls}\n",
    "\n",
    "swag_scale_1_run3 = {'acc': r_s1_run3_accs, 'nll': r_s1_run3_nlls}\n",
    "\n",
    "swag_scale_s2_run2 = {'acc': r_s2_run2_accs, 'nll': r_s2_run2_nlls}\n",
    "swag_scale_s2_run3 = {'acc': r_s2_run3_accs, 'nll': r_s2_run3_nlls}\n",
    "\n",
    "swag_scale_125_run2 = {'acc': r_s12_run2_accs, 'nll': r_s12_run2_nlls}\n",
    "swag_scale_125_run3 = {'acc': r_s12_run3_accs, 'nll': r_s12_run3_nlls}\n",
    "\n",
    "swag_nobn_run2 = {'acc': r_nobn_run2_accs, 'nll': r_nobn_run2_nlls}\n",
    "swag_nobn_run3 = {'acc': r_nobn_run3_accs, 'nll': r_nobn_run3_nlls}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.savez(file='wrn_bma_c100.npz', \n",
    "         swag={'run2': swag_run2, 'run3':swag_run3, 'scale':0.5, 'bn':True},\n",
    "         swag_diag={'run2':swag_diag_run2, 'run3':swag_diag_run3, 'scale':1.0, 'bn':True},\n",
    "         swag_scale_1={'run2':None, 'run3': swag_scale_1_run3, 'scale':1.0, 'bn':True},\n",
    "         swag_scale_1s2={'run2':swag_scale_s2_run2, 'run3':swag_scale_s2_run3, 'scale':1/(2**0.5), 'bn':True},\n",
    "         swag_scale_125={'run2':swag_scale_125_run2, 'run3':swag_scale_125_run3, 'scale':1.25, 'bn':True},\n",
    "         swag_nobn = {'run2':swag_nobn_run2, 'run3':swag_nobn_run3, 'scale':0.5, 'bn':False},\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
